Our NIPS paper “Informative Features for Model Comparison” is now online on Arxiv. Python code.

7 Sep 2018

Our paper titled “Informative Features for Model Comparison” was accepted to NIPS 2018. Given two samples from two candidate models, and a reference sample (observed data), the goal is to design a statistical test to determine which of the two samples is closer to the reference sample. This has an application for comparing two GAN models.